class_docstr: Skill that takes a function usable by pandasai
docstr: Initializes the skill.
  
  Args:
      func: The function from which to create a skill
      description: The description of the skill.
          Defaults to the function docstring.
      name: The name of the function. Mandatory when `func` is a lambda.
          Defaults to the functions name.
      **kwargs: additional params
docstr_tok: ["Initializes","the","skill",".","Args",":","func",":","The","function","from","which","to","create","a","skill","description",":","The","description","of","the","skill",".","Defaults","to","the","function","docstring",".","name",":","The","name","of","the","function",".","Mandatory","when","`","func","`","is","a","lambda",".","Defaults","to","the","functions","name",".","*","*","kwargs",":","additional","params"]
code: def __init__(
      self,
      func: Callable[..., Any],
      description: Optional[str] = None,
      name: Optional[str] = None,
      **kwargs: Any,
  ) -> None:
      """
      Initializes the skill.
  
      Args:
          func: The function from which to create a skill
          description: The description of the skill.
              Defaults to the function docstring.
          name: The name of the function. Mandatory when `func` is a lambda.
              Defaults to the functions name.
          **kwargs: additional params
      """
  
      name = name or func.__name__
      description = description or func.__doc__
      if description is None:
          # if description is None then the function doesn't have a docstring
          # and the user didn't provide any description
          raise ValueError(
              f"Function must have a docstring if no description is provided for skill {name}."
          )
      signature = f"def {name}{inspect.signature(func)}:"
  
      self._signature = signature
      super(Skill, self).__init__(
          func=func, description=description, name=name, **kwargs
      )
  
file_path: pandas-ai/pandasai/skills/__init__.py
imports: from pydantic import BaseModel, PrivateAttr
  from typing import Callable, Any, Optional, Union
  import inspect
label_desc: Use image node_id 1 to create a new Skill object from inherited base classes: BaseModel with example: obj = Skill(func, description, name)